2 posts tagged

Artificial Intelligence

ICO Smart-contracts vulnerability

Initial Coin Offering Models of fundraising still have a lot of loops which makes the money fraud and steal quite often and large-scaled.

According to the latest security researchers made by Positive last year as stated by the Bleeping Computer an average number of vulnerabilities in ICOs stands at number of 5.

The results had shown the very negative trends and outcomes. According to researchers, only one draft of the original offer of coins did not contain bugs.

The study found that 71% of the projects contained vulnerabilities in smart contracts. Among the common problems, analysts pointed out the inconsistency with the ERC-20 standard, the incorrect generation of random numbers and other significant shortcomings.

Experts said that such vulnerabilities appear due to lack of proper qualification of programmers and insufficient testing of the source code.

Most of the security breaches analysts found in ICO-projects to develop mobile applications. Among the common vulnerabilities were named the following: unsafe data transmission, unreliable storage of user data in phone backups and disclosure of the session identifier.

Some vulnerabilities in web applications were aimed at attacking investor funds. For example, because of a lack of proper security, hackers could register a domain similar to ICO, create phishing sites, thereby deceiving investors.

According to the research, every third project contained vulnerabilities that allowed hackers to access data and savings of companies-organizers. Analysts also noted that many initiators of ICO did not use two-factor authentication for important accounts.

https://www.bleepingcomputer.com/news/security/researchers-last-year-s-icos-had-five-security-vulnerabilities-on-average/

Speaking about the background of the this research and former industry vulnerability issues, other things should also be remembered.

Currently, there are hundreds of thousands of smart contracts in the Ethereum blockchain that manage wallets, tokens, applications or are used to store funds. A group of some British researchers alone was able to identify 34,200 vulnerable smart contracts according to the Motherboard data.

An assistant professor from University College London Ilya Sergey and his colleagues conducted a large-scale study to detect all possible vulnerabilities of smart contracts on the Ethereum blockchain. To do this, they downloaded the Ethereum, in effect creating its fork for personal use, and began to launch a variety of scenarios, trying to achieve undesirable consequences. When these consequences came, they marked a smart contract “with a tracked vulnerability.”

Having analyzed about a million smart contracts in this way, the researchers found that 34,200 of them contained critical vulnerabilities. They tested their assumptions on 3,000 smart contracts, and in 89% of cases, they caused the most undesirable consequences. In theory, this could allow them to steal $ 6 million in Ethereum.

According to experts, early detection of vulnerabilities prevents
possible negative consequences. So, for example, in November 2017, a user under the pseudonym DevOps19 found a vulnerability in the code of the Ethereum-purity library Parity and accidentally blocked $ 150 million.

“We are working with applications that have two very unpleasant features: they are used to manage your money and can not be fixed,” Ilya explained.

Attempts to find the creators of vulnerable, smart contracts were in vain. However, since researchers do not say which vulnerabilities were found in smart contracts, they can be considered as safe.
“If someone wants to take advantage of our idea, he, at least, will have to do as much work as we did,” the researcher summed up.
Recall, in January, the Cisco unit detected many vulnerabilities in the Ethereum-client Parity. First of all, it was about the creation of operating code, the incorrect operation of which could lead to a large-scale DoS-attack on its supporting nodes. Moreover, some “loopholes” in the purse software allowed access to private information.

A few days later, representatives of Parity Technologies said that the vulnerabilities were corrected in new versions of the software Ethereum-client.

As we see, the ICO suffers from numerous vulnerabilities, and the further develops the market the points of hacker intrusion also appears.

Read the similar material about how to ensure safety from Ddos-attacks in our official blog

https://blog.merklion.com/all/how-to-ensure-security-from-ddos-attacks/

2018   Artificial Intelligence   Blockchain   Crime   Crowdfunding   Future   Hacks   ICO

The Artificial Intelligence development trends

The world transforms every day with fastening pace, and the digital age is so fast-coming that most of corporation and fintech organizations sometimes do not even realize how to implement the more and more developing technologies. That goes double for blockchain industry. The fusion of AI and blockchain tech in the nearest future will give a lot of useful results. The most known advances so far include the development within the rising blockchain industry.

Artificial Intelligence market goes decentralized

No doubt that Decentralized Artificial Intelligence is coming the big time this year with the advent of decentralized platforms. As the traditional existing AI market had become controlled by corporate tech giants like Google, IBM, and Microsoft, all of which offer cloud-based AI solutions and APIs, the model assumes little control of the users over the AI products. This major flaw, in the long run, shows that a currently existing centralized model leads to the monopolization of the AI market.
The main cons of this are unfair pricing, a lack of transparency, interoperability and limited participation of smaller, but progressive, rival companies in bringing AI innovations to this day.

Today we see the fast emergence of a decentralized AI market, born at the intersection of the blockchain, on-device AI, and edge computing/IoT-tech. The continued AI market-trend is the development of decentralized networks built on the blockchain.

Best current examples of existing platforms that should be outlined are Maxtrix AI and SingularityNet projects.

In the long run, decentralized solutions can produce the radical democratization of the AI market, optimization of solutions for a wide variety of use cases, easy integration and communication between different algorithms through a single protocol and the development of interoperability standards, which will ultimately lead us to the era of AGI (artificial general intelligence). Here the most promising pioneers should be outlined.

The MATRIX intelligent Blockchain is a game changer in its sector. The platform differentiates itself from previous Blockchains by offering breakthrough technologies in building AI-enabled autonomous and self-optimizing Blockchain networks, which feature multi-chain collaborations and decoupling of data and control blocks.

As a result of the extreme congestion on both the Bitcoin and Ethereum Networks, ICO investors or contributors have faced significant challenges with cryptocurrency transfers which cause substantial hitches in trade transactions. The MATRIX Blockchain, via a unique dynamic hierarchy generation mechanism, enables the delivery of a superior transaction speed with the goal being to outperform the VISA system and deliver a remarkable throughput of 1 million transactions/second.

MATRIX also aims to reduce cases of cryptocurrency fraud and theft with reports of such incidences increasing over the past few months. The MATRIX Blockchain also offers ease-of-use to the Blockchain community, allowing a user base which is 3500 times bigger than that of Ethereum to design smart contracts without having programming expertise. With the MATRIX Blockchain, smart contracts are easily implemented with natural language, and it offers a flexibility that is welcome to Blockchain technology and by the crypto community. MATRIX provides the higher flexibility that affords the dynamic adjustment of parameters as required to adjust to the ever-changing and improving cryptocurrency market needs.

With most Blockchain projects having to deal with the hard fork community splitting and digital asset devaluation challenge, MATRIX offers evolutionary parameter optimization without triggering hard fork while also providing the intelligent integration of public and private chains with AI-based coordination.

The SingularityNET projects, in its turn, seeks to dodge the monopoly of tech giants over AI by allowing any company or researcher to monetize their AI solutions and get access to a variety of AI algorithms. The concept of AI merged with the blockchain is an extremely useful idea. For now, Hanson Robotics and its partners are still seemingly in the early stages of development.

Smart data search and AI-driven marketing

An issue of slow and inefficient data search is still at large in major IT-companies. Nowadays, proper data collection is a serious task in the world at large. First of all, companies that need the data are almost never sure about the quality of it. Besides, consumers do not know which companies use their data and what purposed is it used for. Right here, the AI-blockchain based project also steps in. The Apex platform, for example, aims to create a decentralized data platform based on Neo where companies can get high-quality, and up-to-date checked data while consumers benefit from the use of their data.

Here, the AI-based programs come to place. With Apex, users will be able to control which companies get access to collect and to use their data in future. Before a company uses the collected data, a notification is sent to the user which may contain additional links or marketing tools. Opening a link, users have the chance to earn other rewards, and companies can use targeted marketing, while not spending extra money.
In addition to Nexus and IQ, this platform will also use the PRISM (real-time data collection infrastructure), and the company already has clients among large brands like Maserati and BMW.
The Nucleus Vision promises to take data-driven marketing to the new level. The project was founded at Harvard University in 2014.
It is known, that the current data collected by the retailer (and other industries) very often have significant errors, which means that this data cannot be used to optimize the customer’s purchases. The main feature of the project is a unique AI-driven technology of IoT sensors designed for the stable operation that does not depend on RFID, WiFi, Bluetooth and other high-tech solutions and systems, which are currently used for face recognition.

Nucleus Vision is based on blockchain to preserve complete security and privacy of users ’ personal data. The innovation AI-system determines the range of interests of the client, accumulating data on his preferences and behavior in the shopping center or mall. Taking into account all these data, the client can be offered certain goods on the basis of his personal preferences. Nucleus Vision system already operates in 10 major shopping centers.

According to the creators of the platform, today offline retailers are unlikely to provide personal price, and other offers for their customers-they simply do not have opportunities for differentiation. Nucleus Vision also offers a differentiated approach to each client. Buyers will receive nCash tokens for each visit to stores equipped with Nucleus Vision system.

The blockchain-fueled future of the AI- research projects

These are only a few examples of what’s coming in the nearest future. The upcoming merge of blockchain technologies and Artificial Intelligence will see many existing areas revolutionized. The blockchain and AI will continue to disrupt the financial services industry. Future AI development and tech will focus on cognitive use in the data collection, sales, marketing, investments, the wealth management and compliance sectors of the financial services industry.

2018   Artificial Intelligence   Blockchain   Future